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<!-- copilot:summary --> ### <samp>🤖 Generated by Copilot at 27084ed</samp> This pull request simplifies and cleans up the code that uses the cuDNN library for convolution, batch normalization, CTC loss, and quantized operations. It removes the unnecessary checks and conditions for older cuDNN versions and the experimental cuDNN v8 API, and ~~replaces them with the stable `cudnn_frontend` API that requires cuDNN v8 or higher. It also adds the dependency and configuration for the `cudnn_frontend` library in the cmake and bazel files.~~ Correction: The v7 API will still be available with this PR, and can still be used, without any changes to the defaults. This change simply always _builds_ the v8 API, and removes the case where _only_ the v7 API is built. This is a re-land of https://github.com/pytorch/pytorch/pull/91527 Pull Request resolved: https://github.com/pytorch/pytorch/pull/95722 Approved by: https://github.com/malfet |
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| distributed | ||
| experiments | ||
| ideep | ||
| image | ||
| mobile | ||
| mpi | ||
| observers | ||
| onnx | ||
| operators | ||
| opt | ||
| perfkernels | ||
| predictor | ||
| proto | ||
| python | ||
| quantization | ||
| queue | ||
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| sgd | ||
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| test | ||
| transforms | ||
| utils | ||
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| .clang-format | ||
| __init__.py | ||
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| CMakeLists.txt | ||
| README.md | ||
| release-notes.md | ||
| requirements.txt | ||
| unexported_symbols.lds | ||
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Questions and Feedback
Please use GitHub issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.